The unprecedented growth in participation in collegiate athletics has been accompanied by an increase in injury burden. The complex and multifactorial nature of sports injuries highlights the importance of monitoring athletes prospectively using a novel and holistic biopsychosocial approach, as opposed to contemporary practices that silo these facets of health. Data collected over two competitive, basketball seasons were used in a principal component analysis (PCA) model with the following objectives: i) Determine if on-court, sensor-derived and force-plate-derived countermovement jump (CMJ) biomechanics were correlated, ii) determine the reliability of the biomechanical principal components (PCs) and psychological state metrics (e.g., self-reported pain, etc.) across five preseason weeks, iii) investigate whether biomechanical PCs were correlated with psychological state across a season, and iv) explore whether subject-specific meaningful fluctuations could be detected using minimum detectable change statistics. Weekly CMJ (force plates) and on-court data (inertial measurement units), as well as psychological state (questionnaire) data were collected on the women’s basketball team at McMaster University for two seasons. It was found that on-court and CMJ biomechanics were correlated both between and within systems (r = |0.10, 0.94|; p < 0.05), suggesting that PCA would be an effective method to summarize data. The derived PCs displayed excellent reliability (ICC > 0.9), while psychological state metrics displayed moderate-to-good reliability (ICC = 0.71 – 0.89). While many relationships (n = 27) were identified between biomechanical PCs and psychological state metrics, no overarching associations were identified at the group level. However, subject-specific relationships were identified in case-studies, highlighting the potential utility of “red-flagging” meaningful fluctuations from normative biomechanical and psychological patterns. Overall, this work demonstrates the potential of advanced analytical modeling to characterize components of student-athlete performance, health, and well-being, and the need for more tailored and patient-centered athletic monitoring practices. / Thesis / Master of Science (MSc)

<p>The advancement of robotic-assisted surgery (RAS) has revolutionized the field by enabling surgeons to perform intricate procedures with enhanced precision, improved depth perception, and more precise control. Despite these advancements, current RAS systems still rely on teleoperation, where surgeons control the robots remotely. The complexity of the master-slave control mechanism, along with the technical challenges involved, can impose significant mental workloads on surgeons. As excessive mental workload (MWL) can adversely affect performance and increase the likelihood of errors, addressing operator mental overload has become crucial for successful operation in RAS. To tackle this problem, there has been increased interest in developing robots that can provide operators with varying levels of assistance based on their MWL (i.e., adaptive system) during task execution. However, the research in this area is notably limited, primarily due to two key factors: the absence of a real-time MWL assessment framework and the lack of effective intervention strategies to mitigate MWL in RAS.</p> <p>This Ph.D. dissertation aims to fill these gaps by designing the adaptive system in RAS and exploring its impact on surgical task performance. The dissertation comprises three studies. The first study demonstrated the feasibility of the adaptive system in RAS by introducing an MWL-triggered semi-autonomous suction tool as a proof-of-concept. Building upon the insights gained from the first study, the second study focused on enhancing the adaptive system's adaptability to more complex RAS tasks. In particular, the second study proposed a task-independent MWL model that had potential to be applied to various RAS tasks. Additionally, more intelligent interventions were investigated. Furthermore, the third study aimed to investigate the benefits of adaptive system in RAS training by introducing a personalized and adaptive training program based on human MWL profile. The findings of this dissertation revealed evidence supporting the effectiveness of the adaptive system in moderating subjects’ MWL, and its potential in enhancing task performance in RAS. This dissertation highlights the potential of incorporating adaptive systems into future RAS platforms, so that to provide valuable support and assistance to surgeons during critical moments and facilitate surgical training by identifying and addressing the specific needs of surgeons.</p>

This thesis proposes the use of seashells and their behaviours to create a methodological framework for designing wearable knitted sculptures for the body. The behaviours of exposure, protection, growth, and constriction are used to map out the cyclic life pattern of the woman's body and explore its growth. This cyclic view of the woman's body is rooted in re-imagined storytelling of classic myths, continuing the traditional practice of retelling stories to fit or change the perception of current social constructions. The mythology of maiden-mother-crone is aligned with seashell growth cycle, creating a conceptual dialogue between the two. This creates a dynamic storytelling within the research which informs the behaviour and look of the individual pieces. The work used a methodology that explored how digital tools can be incorporated into the sketching process. Experiments, digital and physical, were conducted to support and deepen the exploration of the concept regarding seashells growing on human bodies in both the metaphorical and physical sense. The methodology included the notion of Tableau vivant, a tableau-like performance by the model that is captured as a still image to convey the design expression. The collection tells a story where each piece is a point in the lifespan of shells and humans, drawing parallels between the individual growth cycles and establishing meeting points through body characteristics and social symbolism. This makes the textiles not only an extension of the body with transcribed feelings and personalities but also a representation of it. This thesis presents a twofold result, the five-pieced collection of wearable garments and a series of photographed images that contextualize the collections’ interaction with the woman's body.

Padel involves repetitive and high-velocity upper limb movements, which can be associated with overuse injuries. There is a lack of evidence regarding injury prevention in padel and a necessity of developing and evaluating ways to monitor workload. The objective of this study was to use a new mobile measurement method (Delsys Trigno Light System) to evaluate muscle activation and movement of the forearm during padel. The percentage of MVC (%MVC) of Mm. Extensor carpi radialis (ECR) longus et brevis and M. flexor carpi radialis (FCR), angular velocities of the wrist and co-contraction between ECR and FCR were measured and analyzed. The main results showed a relatively low general muscle activation; 1.42 (0.44 – 2.33) %MVC of FCR and 8.02 (4.23 – 12.62) %MVC of ECR, with significantly greater muscle activation of the ECR than the FCR (p&lt;0.001), high angular wrist velocities; 17.0 (13.2 – 34.6) °/s, and a weak positive correlation for co-contraction with peak values of FCR &gt; 0.15 V and concurrent ECR, Spearman’s r = 0.326, p&lt;0.001 and peak values of ECR &gt; 0,15 V and concurrent FCR, Spearman’s r = 0.181, p&lt;0.001. This study indicates that this mobile measurement method may be used to evaluate biomechanical workload on the forearm during padel play and may serve as an injury preventive tool.

Standard test methods provide product developers with information regarding materials' suitability for different purposes. Typically, current standards are suitable for determining the mechanical properties of new materials. However, in the case of electronic textiles (E-Textiles) and wearable technology (wearables), adding conductive components with added functionality makes utilizing textile standards difficult, and these standards will not provide information on mechanical and electrical properties of conductive elements. New standards for E-Textile and wearables testing are needed to ensure product developers can obtain the information necessary to make informed decisions about new products. Standards organizations such as the American Society for Testing and Materials (ASTM) and the Institute for Printed Circuits (IPC) are working on new methods for testing E-Textiles and wearables but must ensure the tests are rugged before publication and industry adoption. This study focuses on performing a ruggedness test for a new IPC test method for abrasion resistance of E-Textiles.

Background: Medical student involvement in clinical care of obstetrical emergencies is limited. Wearable technology, namely Google Glass, has been used to enhance the simulation experience for trainees at our institution. We present a pilot study that examines the utility of this technology in medical students’ education through remotely-conducted exercises in obstetric emergencies. Materials & Methods: A total of thirteen medical students accepted the opportunity to participate in an obstetric emergencies training exercise with remote monitoring. Students wore the Google Glass device while participating in two simulated obstetrical emergencies: shoulder dystocia and vaginal breech delivery. A remote instructor monitored the students’ performance and gave verbal instructions during the simulation. Students then filled out a questionnaire grading the effectiveness of the exercise. Results: Of all participating students, 55% reported Glass extremely valuable for their education. None reported it as not being valuable. 15% reported that Glass distracted them in their simulation activity. 100% of participants reported it being more than “successful" in its potential to improve emergency obstetric care. 55% reported that Glass or a similar device is “extremely likely” to be incorporated into medicine. None reported that it is unlikely to be used in the future of medicine. Conclusions: Wearable technology has the potential to provide improved learner experience. This technology can be successfully used to provide student exposure to simulated emergencies. Further studies evaluating the participation of students and other learners in simulated obstetrical emergencies are needed to determine how effective wearable technology can become in medical education and ultimately patient care as well.

The value of heart rate variability (HRV) in the fields of health, disease, and exercise science has been established through numerous investigations. The typical mobile-based HRV device simply records interbeat intervals, without differentiation between noise or arrythmia as can be done with an electrocardiogram (ECG). The intent of this report is to validate a new single channel ECG device, the Movesense Medical sensor, against a conventional 12 channel ECG. A heterogeneous group of 21 participants performed an incremental cycling ramp to failure with measurements of HRV, before (PRE), during (EX), and after (POST). Results showed excellent correlations between devices for linear indexes with Pearson’s r between 0.98 to 1.0 for meanRR, SDNN, RMSSD, and 0.95 to 0.97 for the non-linear index DFA a1 during PRE, EX, and POST. There was no significant difference in device specific meanRR during PRE and POST. Bland–Altman analysis showed high agreement between devices (PRE and POST: meanRR bias of 0.0 and 0.4 ms, LOA of 1.9 to −1.8 ms and 2.3 to −1.5; EX: meanRR bias of 11.2 to 6.0 ms; LOA of 29.8 to −7.4 ms during low intensity exercise and 8.5 to 3.5 ms during high intensity exercise). The Movesense Medical device can be used in lieu of a reference ECG for the calculation of HRV with the potential to differentiate noise from atrial fibrillation and represents a significant advance in both a HR and HRV recording device in a chest belt form factor for lab-based or remote field-application.

京都大学 / 新制・課程博士 / 博士(工学) / 甲第24608号 / 工博第5114号 / 新制||工||1978(附属図書館) / 京都大学大学院工学研究科機械理工学専攻 / (主査)教授 松野 文俊, 教授 小森 雅晴, 教授 森本 淳 / 学位規則第4条第1項該当 / Doctor of Philosophy (Engineering) / Kyoto University / DGAM

There is a significant need to develop objective measures for identifying children under the age of 8 who have anxiety and depression. If left untreated, early internalizing symptoms can lead to adolescent and adult internalizing disorders as well as comorbidity which can yield significant health problems later in life including increased risk for suicide. To this end, we propose the use of an instrumented fear induction task for identifying children with internalizing disorders, and demonstrate its efficacy in a sample of 63 children between the ages of 3 and 7. In so doing, we extract objective measures that capture the full six degree-of-freedom movement of a child using data from a belt-worn inertial measurement unit (IMU) and relate them to behavioral fear codes, parent-reported child symptoms and clinician-rated child internalizing diagnoses. We find that IMU motion data, but not behavioral codes, are associated with parent-reported child symptoms and clinician-reported child internalizing diagnosis in this sample. These results demonstrate that IMU motion data are sensitive to behaviors indicative of child psychopathology. Moreover, the proposed IMU-based approach has increased feasibility of collection and processing compared to behavioral codes, and therefore should be explored further in future studies.

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